Suppr超能文献

[人类星形细胞瘤新诊断和预后肿瘤标志物的证据。潜在的治疗应用。I]

[Evidence of new diagnostic and prognostic human astrocytoma tumor markers. Potential therapeutic applications. I].

作者信息

Salmon I

机构信息

Services de Neurochirurgie et d'Anatomopathologie, Hôpital Erasme.

出版信息

Bull Mem Acad R Med Belg. 1998;153(3):199-207.

PMID:9760761
Abstract

This paper summarises different studies of our group whose aim to improve the accuracy of prognostic values for patients with astrocytic tumors. Our approach aims to optimise the conventional evaluation of astrocytic tumor malignancy by means of the quantification of conventional morphological criteria, and the production of biological variables related to DNA ploidy level. All these quantitative variables have been generated by means of computer-assisted microscopy and submitted to adapted data analysis methods. A series of 250 astrocytic tumors has been analysed, including 39 astrocytomas (AST), 47 anaplastic astrocytomas (ANA) and 164 glioblastomas (GBM) identified in accordance with the WHO classification. This classification distinguishes between tumor groups with relatively (AST), intermediary (ANA) and unfavorable (GBM) prognoses. However, it does not take into account the high degree of heterogeneity in each tumor group and may thus be poorly for individual case prediction. In this context, our approach has been able to identify new entities in the AST and ANA histological groups. These entities have established some reference points on the biological continuum according to the sequence AST-->ANA-->GBM and enable prognosis evaluation to be improved in astrocytic tumors.

摘要

本文总结了我们团队的不同研究,其目的是提高星形细胞瘤患者预后值的准确性。我们的方法旨在通过对传统形态学标准进行量化以及生成与DNA倍体水平相关的生物学变量,来优化对星形细胞瘤恶性程度的传统评估。所有这些定量变量均通过计算机辅助显微镜生成,并采用适配的数据分析方法进行分析。我们分析了一系列250例星形细胞瘤,其中包括根据世界卫生组织分类确定的39例星形细胞瘤(AST)、47例间变性星形细胞瘤(ANA)和164例胶质母细胞瘤(GBM)。该分类区分了预后相对较好(AST)、中等(ANA)和较差(GBM)的肿瘤组。然而,它没有考虑到每个肿瘤组中高度的异质性,因此可能对个体病例预测效果不佳。在此背景下,我们的方法能够在AST和ANA组织学组中识别出新的实体。这些实体根据AST→ANA→GBM的序列在生物学连续体上建立了一些参考点,并能够改善星形细胞瘤的预后评估。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验